Staff Software Engineer-Reference Data at Jobgether
—
Jul 19, 2026
—
Jul 22, 2026
What this job asks for AI summary
A staff-level engineering role focused on designing and scaling data platforms that support investment workflows, including ingestion pipelines, data services, analytics infrastructure, and AI-driven product features. The work spans distributed systems, microservices, and cloud infrastructure using tools such as Python, PySpark, Java, AWS, and Kubernetes. The role also carries technical leadership responsibilities — setting architectural direction, mentoring engineers, and coordinating across product and engineering teams.
Staff level · 7+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 3,400 people nationally plausibly meet what this posting asks for (software developers). range 2,050–5,100
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
This posting is listed via Jobgether on behalf of an unnamed partner company; the actual employer and full compensation details are not disclosed.
The degree requirement states 'Bachelor's or Master's degree… or equivalent practical experience,' so no formal degree is hard-gated.
Python, PySpark, and Java are listed together under Requirements as interchangeable OOP language options ('such as Python, PySpark, or Java'); all three are captured, with Java and PySpark as alternatives to Python. However, PySpark is also called out separately in the Accountabilities section as a distinct technology for data processing, so it is also listed as its own required skill.
AWS, Terraform, and Kubernetes appear in the Accountabilities narrative ('modern technologies such as…') rather than in a hard-requirements gate, so they are marked preferred.
OLAP and data lake architectures appear in the Requirements section with 'and/or' framing, indicating optional depth; OLAP is captured as preferred to reflect that nuance.
Knowledge of financial concepts/fintech is explicitly called 'a plus' and is therefore omitted as a named technology skill (it is a domain concept, not a concrete tool).
The role is remote within the United States; no specific metro or state is identified.
The Staff title and cross-team technical leadership scope (influencing engineering strategy, mentoring, architectural direction across teams) genuinely support a Staff-level classification, not merely Senior.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.